adplus-dvertising

Welcome to the Developing Data Products MCQs Page

Dive deep into the fascinating world of Developing Data Products with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Developing Data Products, a crucial aspect of Data Science. In this section, you will encounter a diverse range of MCQs that cover various aspects of Developing Data Products, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Science.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Developing Data Products. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Science.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Developing Data Products. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Developing Data Products MCQs | Page 1 of 5

Q1.
Which of the following project is used for calling R products from web?
Discuss
Answer: (a).OpenCPU
Discuss
Answer: (c).Time required to create data products using shiny is more
Discuss
Answer: (a).install.packages(“shiny”)
Q4.
Which of the following can be done by shiny?
Discuss
Answer: (d).All of the mentioned
Discuss
Answer: (d).none of the mentioned
Q6.
Which of the following function can interrupt execution and can be called continuously?
Discuss
Answer: (a).browser()
Q7.
runApp() will run the shiny and open the browser window.
Discuss
Answer: (a).True
Q8.
Which of the following function is for single checkbox widget?
Discuss
Answer: (a).checkboxInput
Q9.
How many components are involved in shiny?
Discuss
Answer: (d).none of the mentioned
Q10.
All of the styled elements are handled through server.R.
Discuss
Answer: (b).False
Page 1 of 5

Suggested Topics

Are you eager to expand your knowledge beyond Data Science? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!